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Cohere claims Embed 5 Fast leads Google's EmbeddingGemma 2 on 95% of datasets

By PulseAugur Editorial · [2 sources] ·

Cohere has asserted that its Embed 5 Fast model outperforms recent strong embeddings models, including Google's EmbeddingGemma 2. The company claims Embed 5 Fast leads on over 95% of 163 datasets when evaluated using their proprietary RCP-nDCG@10 methodology. Cohere also confirmed that RCP-nDCG is their own developed methodology and that they continue to lead in standard nDCG@10 metrics. AI

IMPACT Reinforces the competitive landscape in embedding models, potentially influencing adoption based on performance claims.

RANK_REASON This is a claim about an existing model's performance, not a new release or research paper.

Read on X — Cohere →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Cohere claims Embed 5 Fast leads Google's EmbeddingGemma 2 on 95% of datasets

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Tool
This is a claim about an existing model's performance, not a new release or research paper.
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2 independent sources
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model release, product
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COVERAGE [2]

  1. X — Cohere TIER_1 English(EN) · cohere ·

    Is RCP-nDCG our own methodology? Yes.

    Is RCP-nDCG our own methodology? Yes. Do we still lead when it comes to standard nDCG@10? Also yes. https://t.co/OCi6kL20pe

  2. X — Cohere TIER_1 English(EN) · cohere ·

    Some strong embeddings models have been released recently. Ours is still better.

    Some strong embeddings models have been released recently. Ours is still better. We benchmarked Embed 5 Fast against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG@10. Embed 5 Fast leads on over 95% of them. https://t.co/8AAdeCp6d3

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